Data Analytics Services
Our survey design services include:
- Designing data collections to answer important policy questions while minimizing respondent burden and, when possible, complementing them with administrative and qualitative data
- Customizing small- to large-scale data collections for:
- Substantive areas, including disability, early childhood, education, family support, health, international, labor, and nutrition
- General and targeted populations, including hard-to-reach participants; health care providers; principals, teachers, and students; vulnerable populations; new businesses; and other establishments
- Developing and testing survey questions to ensure that respondents fully understand the intent of the questions, particularly youth, the elderly, those for whom English is not a primary language, and those whose disabilities affect communication
- Designing and implementing probability and nonprobability samples, including complex sample designs, weighting, variance estimation and nonresponse bias analysis and adjustment
- Creating public use data sets that meet the highest standards for confidentiality
- Conducting methodological research to improve quality and cost-effectiveness
Read more about our data collection services.
EVIDENCE & INSIGHTS

Publication
Calibrated Multilevel Regression with Poststratifiction for the Analysis of SMS Survey Data
The authors discuss the advantages and limitations of applying multilevel regression with poststratification to data collected through SMS surveys.
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Progress is best made together.
We believe in close partnership - whether you're a small non-profit or a federal government agency, we stick with you to help you see clearly and act quickly.